What are the responsibilities and job description for the Junior Python Developer – Real-Time Intelligent Communication Systems position at Entratus?
Job Title:
Junior Python Developer – Real-Time Intelligent Communication Systems
Company Overview:
Join our innovative technology team, developing cutting-edge solutions for agentic, context-aware intelligent conversations. We specialize in building platforms and products that deliver conversational agents pulling real-time data for advanced, interactive experiences.
Job Summary
We are seeking a Junior Python Developer to join our dynamic team working on a real-time distributed communication framework. You will contribute to our Python-based back-end services, collaborating with Senior Developers and the Product Owner to build and optimize features.
This position offers an excellent opportunity to learn from experienced engineers, develop skills in asynchronous programming, containerization, and distributed systems, and contribute to the next generation of AI-powered applications.
Key Responsibilities
- Python Development
- Contribute to backend services and APIs using Python, with a focus on asynchronous frameworks (e.g., FastAPI, Asyncio, Uvicorn, Aiohttp).
- Write clean, maintainable, and efficient Python code that aligns with team standards and best practices.
- Real-Time Communication Systems
- Assist in maintaining and optimizing the existing Redis-backed distributed communication framework.
- Learn and apply BullMQ (Node.js-based) components to manage message queuing and event handling.
- Support the integration and troubleshooting of real-time data pipelines, ensuring low-latency and high-availability.
- Data Processing & Integration
- Use libraries like Pandas, Openpyxl, and Python Dateutil for data manipulation and transformation.
- Work with SQLAlchemy, Psycopg2, and Pgvector to manage database interactions and data storage.
- AI & Machine Learning Exposure
- Collaborate with Senior Developers to integrate or optimize ML/NLP components (LangChain, Tiktoken, Litellm, Semantic Router) into the communication platform.
- Participate in code reviews and brainstorming sessions for AI-related features.
- Configuration & Testing
- Help manage environment settings using tools like Python Dotenv and Toml.
- Write and maintain Pytest test cases to ensure code quality and reliability.
- Implement error monitoring and logging with Sentry SDK.
- Collaboration & Learning
- Work closely with senior team members to understand product requirements, implement solutions, and refine features.
- Participate in agile ceremonies (stand-ups, sprint planning, retrospectives), providing updates and feedback.
- Seek out opportunities for personal and professional growth, actively engaging in mentorship and knowledge sharing.
Required Qualifications
- 2 year of experience in Python development (academic projects, internships, or professional experience).
- Basic understanding of asynchronous programming and/or multi-threading concepts.
- Familiarity with data manipulation libraries (e.g., Pandas, Openpyxl, Numexpr, Tqdm).
- Understanding of RESTful API design and web frameworks (e.g., FastAPI, Flask, or similar).
- Exposure to database technologies (SQL or NoSQL) and libraries like SQLAlchemy.
- Excellent communication skills and a willingness to learn from senior engineers and collaborate with the team.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Preferred Qualifications
- Experience with Redis or other in-memory data stores.
- Familiarity with Node.js or willingness to learn for supporting BullMQ integrations.
- Exposure to Docker or other containerization tools.
- Basic understanding of cloud services (e.g., Azure Storage Blob, AWS, or similar).
- Interest or prior experience in AI/ML or NLP libraries.
- Experience with version control systems (Git, GitHub, or similar).
- Understanding of CI/CD processes and DevOps best practices.
Why Join Us?
- Mentorship & Growth: Work alongside senior developers committed to your professional development.
- Cutting-Edge Technologies: Gain exposure to real-time communication frameworks, containerization, and AI/ML tools.
- Innovative Culture: Collaborate in a forward-thinking environment shaping the future of intelligent conversation systems.
- Remote Opportunity: Enjoy flexibility in a fully remote setting, with competitive compensation and benefits.
Location: Remote
Compensation: Competitive salary, along with benefits and opportunities for professional development.
If you’re passionate about learning and contributing to scalable, real-time Python applications in an AI-driven environment, we’d love to hear from you. Apply today and start your journey with us!
Job Application Questionnaire- Fill this out on a separate document and submit with your resume
Use this questionnaire as part of your initial application form. It will help you quickly gauge each candidate’s relevant background and baseline knowledge.
Section A: General Background
- Education & Experience
- Please describe your educational background (degree, major, graduation year, etc.).
- Do you have any professional or internship experience using Python? If yes, please describe.
- Motivation & Interests
- Why are you interested in a Junior Python Developer role with a focus on real-time communication and AI?
- Tell us about a project (personal, academic, or professional) that you are particularly proud of. What was your role and what did you learn?
Section B: Technical Knowledge
- Python Fundamentals
- What Python features or best practices do you consider essential for writing clean, maintainable code?
- Explain the difference between a list and a tuple in Python.
- Asynchronous Programming
- Have you worked with asynchronous programming (e.g., asyncio, FastAPI, Uvicorn)? Please describe any relevant experience.
- Explain in your own words why asynchronous programming can be beneficial in real-time applications.
- Databases
- Which databases have you worked with (SQL, NoSQL, etc.)?
- Do you have any experience with ORMs like SQLAlchemy, or direct driver usage like Psycopg2? Describe briefly.
- Redis & Real-Time Systems
- Have you used Redis or any other in-memory data store? If yes, explain how you used it.
- What do you understand about “real-time communication systems”? Share an example of when low-latency was essential.
- Data Libraries & Manipulation
- Which Python data manipulation libraries (e.g., Pandas) are you familiar with? What do you typically use them for?
- Give an example of a data transformation or processing task you have automated in Python.
- Testing & Version Control
- Do you have experience writing tests in Python (e.g., with pytest)?
- How comfortable are you with Git or other version control systems?
Section C: Additional Skills & Preferences
- Cloud & Containerization
- Have you used Docker, Kubernetes, or any cloud services (Azure, AWS, etc.)? If yes, provide a brief overview of your experience.
- AI/ML & NLP Exposure
- What is your level of familiarity with AI/ML or NLP libraries (e.g., LangChain, spaCy, scikit-learn)?
- Why are you interested in working on AI-powered conversation systems?
- Availability & Logistics
- Are you open to fully remote work?
- When would you be able to start?
